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Location, location, location. Every action has a location component and a time component. That is precisely why companies must monitor, understand and adjust to business signals when and where they occur.

Competitive superiority and prosperity require timely interpretation of space and time variables for contextual, condition-based decision making and timely action. Geospatial cockpits with cloud computing capabilities can now integrate the wealth of cloud data like macroeconomic indicators on the web with internal operations information to help define and execute optimal business decisions in real-time.

Enterprise planning used to take place behind the firewall. Circumstances have changed. Much of today's most valued information for the supply chain comes from outside the firewall. Key information comes from web feeds, RSS and GeoRSS data, wireless messaging, and external data searches.

With dramatic advances in internet technology, bandwidth is no longer a problem. Enterprises increasingly use remote storage and computing to hold and process data they need. Business intelligence (BI) systems increasingly use in-memory storage, which is best served using cloud-based remote server farms. The cloud enables processing of data sourced outside the enterprise and within the enterprise -- largely without compromise.

Location-based data processing, which accesses a large web of distributed resources, is an ideal candidate for cloud-based offerings. The number of location-based services is rapidly increasing. Companies like Microsoft, Google and others are using their computing and networking muscle to harness and deliver street-level and satellite location data in image, video, text, and numeric formats.

Next generation geospatial analytics software companies are taking cloud-based location processing to the next level. They are using geospatial software platforms to correlate multi-source data, compute space-time analytics, process real-time events, and visualize the results on a satellite image backdrop.

The new geospatial analytics platforms can do simultaneous, rule-based aggregation and correlation of data and functionality from the cloud, GPS-enabled devices, enterprise applications, and databases to deliver full-context information. Their core technology is optimized for location-sensitive and time-specific calculations, processing, correlation, search, and analytics of multi-source data. They can perform high volume, high speed space and time-aware functions that simply cannot be done by other systems.


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